We give an overview of random matrix theory (RMT) with the objective of highlighting the
results and concepts that have a growing impact in the formulation and inference of …

In this paper, we study the sum rate performance of zero-forcing (ZF) and regularized ZF
(RZF) precoding in large MISO broadcast systems under the assumptions of imperfect …

This book presents a unified theory of random matrices for applications in machine learning,
offering a large-dimensional data vision that exploits concentration and universality …

In this paper, a deterministic equivalent of ergodic sum rate and an algorithm for evaluating
the capacity-achieving input covariance matrices for the uplink large-scale multiple-input …

Linear statistics of eigenvalues in many familiar classes of random matrices are known to
obey gaussian central limit theorems. The proofs of such results are usually rather difficult …

This paper adresses the behavior of the mutual information of correlated multiple-input
multiple-output (MIMO) Rayleigh channels when the numbers of transmit and receive …

In this article, novel deterministic equivalents for the Stieltjes transform and the Shannon
transform of a class of large dimensional random matrices are provided. These results are …

This paper considers maximizing the network-wide minimum supported rate in the downlink
of a two-cell system, where each base station (BS) is endowed with multiple antennas. This …

Intelligent reflecting surfaces (IRSs) are promising enablers for high-capacity wireless
communication systems by constructing favorable channels between the transmitter and …

Large multiple-input multiple-output (MIMO) networks promise high energy efficiency, ie,
much less power is required to achieve the same capacity compared to the conventional …